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Research interests

Professor Jean Yang is an applied statistician with expertise in statistical bioinformatics. She was awarded the 2015 Moran Medal in statistics from the Australian Academy of Science in recognition of her work on developing methods for molecular data arising in cutting edge biomedical research.Her research stands at the interface between medicine and methodology development and has centered on the development of methods and the application of statistics to problems in -omics and biomedical research. Shehas made contributions to the development of novel statistical methodologyand software for the design and analysis of high-throughput biotechnological data including that from microarrays, mass spectrometry and next generation sequencing.Recently, much of her focus is on integration of multiple biotechnologies with clinical data to answer a variety of scientific questions. This includes developiong various approches and methodolgies in statistical machine learning and network analysis. As a statistician who works in the bioinformatics area, she enjoys research in a collaborative environment, working closely with scientific investigators from diverse backgrounds.

Oates, J., Casikar, I., Campain, A., Mueller, S., Yang, J., Reid, S., Condous, G. (2013). A prediction model for viability at the end of the first trimester after a single early pregnancy evaluation. Australian and New Zealand Journal of Obstetrics and Gynaecology, 53(1), 51-57. [More Information]

Oates, J., Casikar, I., Campain, A., Mueller, S., Yang, J., Reid, S., Condous, G. (2013). A prediction model for viability at the end of the first trimester after a single early pregnancy evaluation. Australian and New Zealand Journal of Obstetrics and Gynaecology, 53(1), 51-57. [More Information]